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Word Level Plagiarism Detection of Marathi Text Using N-Gram Approach

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Recent Trends in Image Processing and Pattern Recognition (RTIP2R 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1037))

Abstract

Plagiarism is increasing day by day. Plagiarism detection is one of the most complex, but a must requirement. This paper deals with word level plagiarism detection for Marathi text by using N-gram language model and a Marathi corpus. This is most simple in form still provides good depth for understanding and emphasing copy-paste and paraphrased plagiarism detection. It forms basis for sentence as well as paragraph level processing

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Acknowledgement

Authors would like to acknowledge and thanks to CSRI DST Major Project sanctioned No.SR/CSRI/71/2015(G), Computational and Psycholinguistic Research Lab Facility supporting to this work and Department of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, India.

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Authors and Affiliations

  1. Department of CS & IT, Dr. B. A. M. University, Aurangabad, (MS), India

    Ramesh R. Naik, Maheshkumar B. Landge & C. Namrata Mahender

Authors
  1. Ramesh R. Naik
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  2. Maheshkumar B. Landge
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  3. C. Namrata Mahender
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Corresponding authors

Correspondence to Ramesh R. Naik , Maheshkumar B. Landge or C. Namrata Mahender .

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of South Dakota, Vermillion, SD, USA

    K. C. Santosh

  2. Solapur University, Solapur, India

    Ravindra S. Hegadi

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Naik, R.R., Landge, M.B., Mahender, C.N. (2019). Word Level Plagiarism Detection of Marathi Text Using N-Gram Approach. In: Santosh, K., Hegadi, R. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2018. Communications in Computer and Information Science, vol 1037. Springer, Singapore. https://doi.org/10.1007/978-981-13-9187-3_2

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  • DOI: https://doi.org/10.1007/978-981-13-9187-3_2

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9186-6

  • Online ISBN: 978-981-13-9187-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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